#aiops News & Analysis

2 articles tagged with #aiops. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · May 127/10

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Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents

Researchers present PROBE, a framework that improves how AI software engineering agents recover from failures by converting runtime telemetry into structured diagnoses and bounded recovery guidance. The system achieves 65% diagnosis accuracy and 21.8% recovery rates on previously unresolved cases, with a prototype deployed at Microsoft showing practical viability without disrupting existing workflows.

AINeutralarXiv – CS AI · 4d ago6/10

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A Topology-Aware, Memory-Centric Architecture that Separates Root-Cause Derivation from Root-Cause Explanation

Researchers present OpsCortex, a multi-agent system that uses persistent operational memory and dependency graphs to automatically derive root causes of microservice failures, then leverages LLMs only for explanation rather than diagnosis. The architecture separates root-cause derivation from explanation, addressing a critical gap in autonomous operations by maintaining structured system knowledge that typical monitoring stacks discard.